Prediction of melter cold‐cap topology from plenum temperatures with computational fluid dynamics and machine learning-Reference-Cited by-同舟云学术

Prediction of melter cold‐cap topology from plenum temperatures with computational fluid dynamics and machine learning

Published:2022-06-17 Issue:4 Volume:4 Page:257-269
ISSN:2578-3270
Container-title:International Journal of Ceramic Engineering & Science
language:en
Short-container-title:Int J Ceramic Engine & Sci

Author:

Abboud Alexander W.¹,Guillen Donna P.¹,Christensen Bailey A.¹

Affiliation:

1. Materials Science and Engineering Department Idaho National Laboratory Idaho Falls Idaho USA

Publisher

Wiley

Subject

Ocean Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ces2.10134

Reference41 articles.

1. RichardsonD.Hanford's Melters [Internet]. NEI Magazine.2018[cited 2021 Nov]. Available from:https://www.neimagazine.com/features/featurehanfords‐melters‐6070128/

2. Effect of cold cap coverage and emissivity on the plenum temperature in a pilot‐scale waste vitrification melter

3. Validation hierarchy for waste vitrification models;Guillen DP;Transactions.,2018

4. AbboudAW GuillenDP PokornyR.Convolutional neural network model for the prediction of plenum temperature in a waste glass melter.ASME 2020 Power Conference 2020 Aug 2‐6;Anaheim CA. New York:The American Society of Mechanical Engineers;2020.

5. AbboudAW GuillenDP EatonWC DixonD HallM KrugerAA.An artificial neural network with computational fluid dynamics for estimating cold cap coverage in a laboratory‐scale melter. Paper presented at:2021 Waste Management Symposia (Paper No. 21174); 2021 Mar 8‐11 Phoenix AZ.

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